Now / A snapshot, not a schedule
What has
my attention.
The work, ideas and questions I’m spending time with. A small, editable record of where my curiosity is taking me.
Building and explaining
I’m the founder of AgentixBrain, where my work brings together software, AI integration and infrastructure. Technical education is part of that direction too: finding clear ways to explain the ideas behind the tools.
AI adoption in existing systems
My advisory focus is practical AI adoption: identifying useful use cases, connecting AI to existing applications, and establishing evaluation and operating practices. For agentic AI, that also means defining tool access, human review points and how to recover when an action fails. I’m interested in approaches that let teams modernise incrementally rather than replace systems wholesale.
My approach to AI integration and delivery explains that direction.
Questions I’m exploring
- AI model hosting. What does it take to run a model reliably, beyond getting a first response?
- Long-term AI memory. How should a system retain, retrieve and revise context over time?
- Computing and mathematics. How did a sequence of ideas about numbers, logic and machines lead to the systems we use today?
- Technical storytelling. How can diagrams and worked examples make a difficult concept easier to reason about?
These are areas of exploration, rather than a list of finished products. I’ll add public notes and experiments as they are ready to share.
Elsewhere
I share code on GitHub. The AgentixBrain Academy brings together the educational side of the work.